AI Engineering

Mckinsey & Company; Gurugram District, Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Mckinsey & Company is seeking a talented AI Engineer to join our Cyber Security Operations team in Gurugram. You will design, develop, and deploy AI-driven automation solutions that power rapid investigations and proactive threat defense.

You will build Agentic AI workflows using LangGraph, LangChain, and CrewAI, with strong Python services and REST API integration, enabling scalable security operations and incident response.

Qualifications

• Hands-on experience in AI engineering and ML.
• Proven ability to build AI agents and LLM-based apps.
• Experience with prompt engineering and safety guardrails.

Responsibilities

• Design, develop, and deploy AI automation for cyber security operations.
• Build intelligent assistants to streamline security investigations.
• Integrate AI services with security platforms via REST APIs.

Skills

AI Engineering

Machine Learning

Generative AI

Prompt engineering

Context management

AI guardrails

Python development

REST APIs

Security operations familiarity

Tools

LangGraph

LangChain

CrewAI

Job description

Role & responsibilities

You will play a pivotal role in revolutionizing our Cyber Security Operations by designing, developing, and deploying cutting-edge, AI-

powered automation solutions.

You will be at the forefront of building Agentic AI workflows and intelligent assistants that streamline complex security investigations, provide deep contextual enrichment, and accelerate our incident response capabilities. Leveraging your expertise in Python, Large Language Models (LLMs), and AI agent frameworks coupled with your foundational cybersecurity knowledge you will directly impact our ability to proactively defend against and mitigate emerging threats, making our security operations faster, smarter, and more resilient.

Preferred candidate profile

• 2+ years of hands-on experience in AI Engineering, Machine Learning, Generative AI, or intelligent automation
• Proven track record of developing AI agents, LLM-based applications, and automation solutions. Deep understanding of prompt engineering, context management strategies, and implementing AI guardrails to ensure response reliability and accuracy
• Hands-on experience designing, developing, and deploying Agentic AI workflows using industry-standard frameworks such as LangGraph,LangChain, CrewAI, or similar tools
• Strong proficiency in Python development. Extensive experience building enterprise-grade Python services and integrating applications through REST APIs
• Demonstrated ability to build AI-powered assistants aimed at automating complex processes, preferably with exposure to security operations, incident investigations, or repetitive SOC tasks. Familiarity with integrating tools into security platforms like SIEM and EDR is highly desirable